Programs/code
Labelf
Labelf
Labelf AI is an NLP low-code platform that allows users to train AI models using active learning. With Labelf AI, users can easily label and annotate data, build custom NLP models, and deploy them to production without the need for extensive programming knowledge.
Key Features:
Labelf AI comes with several features that make it a powerful tool for NLP model training. Here are some of its key features:
- Active Learning: Labelf AI uses active learning to continuously improve the accuracy of NLP models, reducing the need for manual labelling and annotation.
- Low-Code Platform: Labelf AI's low-code platform allows users to build custom NLP models without the need for extensive programming knowledge.
- Customizable Workflows: Labelf AI allows users to customize their workflows to match their specific use cases and business needs.
- Collaboration: Labelf AI enables collaboration among team members, making it easy to work together on labelling and annotation tasks.
How it Works:
Labelf AI's NLP low-code platform allows users to train AI models using active learning. Here's how it works:
- Data Preparation: Users upload their data to the Labelf AI platform, where it is prepared for labelling and annotation.
- Labelling and Annotation: Users can label and annotate data using Labelf AI's intuitive interface, which suggests labels based on existing data and user feedback.
- Model Training: Labelf AI uses active learning to train NLP models, continuously improving their accuracy over time.
- Deployment: Once the NLP model is trained, users can deploy it to production, where it can be used to analyze text data and extract insights.
In conclusion, Labelf AI is a powerful tool for NLP model training, using active learning and a low-code platform to make it accessible to users without extensive programming knowledge. It's customizable workflows and collaboration features make it a valuable tool for businesses and organizations looking to build custom NLP models and extract insights from text data.
